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稳健ARDL边界检验协整×Johansen协整检验与向量误差修正模型×非线性自回归分布式滞后 (NARDL) 模型×
领域计量经济学金融学计量经济学
方法族Regression modelRegression modelRegression model
起源年份201919912014
提出者Sam, McNown & GohSøren JohansenShin, Yu & Greenwood-Nimmo
类型Cointegration testMultivariate cointegration / vector error correction modelNonlinear cointegration model
开创性文献Sam, C. Y., McNown, R., & Goh, S. K. (2019). An augmented autoregressive distributed lag bounds test for cointegration. Economic Modelling, 80, 130-141. DOI ↗Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (pp. 281–314). Springer. link ↗
别名Robust ARDL, Robust bounds testing approach, Sam-McNown-Goh bounds test, Bootstrap ARDL bounds testJohansen test, VECM, vector error correction model, multivariate cointegrationNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model
相关335
摘要The Robust ARDL bounds test is an augmented version of the Pesaran-Shin-Smith (2001) ARDL bounds testing approach that resolves its two key weaknesses: size distortion under mixed integration orders and the degenerate-case problem. It introduces three separate test statistics — an overall F-test and two new Wald statistics for the dependent and independent variables — evaluated against bootstrap-generated critical values.The Johansen procedure is a multivariate cointegration framework, introduced by Søren Johansen in 1991, that tests for long-run equilibrium relationships among several I(1) time series. It determines how many cointegrating vectors link the series and then builds a Vector Error Correction Model (VECM) to describe the short-run dynamics around that equilibrium.The Nonlinear ARDL (NARDL) model extends the linear ARDL bounds-testing framework to allow asymmetric long-run and short-run relationships. By decomposing the regressor into cumulative positive and negative partial sums, it tests whether increases and decreases in a variable exert different effects on the outcome — a feature especially relevant in financial and energy economics where positive and negative shocks rarely cancel out symmetrically.
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ScholarGate方法对比: Robust ARDL bounds test · Johansen Cointegration Test · Nonlinear ARDL. 于 2026-06-19 检索自 https://scholargate.app/zh/compare